Predictable non-linearities in U.S. inflation

Predictable non-linearities in U.S. inflation

We expand Nakamura’s (2005) neural network based inflation forecasting experiment to an alternative non-linear model; a Markov switching autoregressive (MS-AR) model. The two non-linear models perform approximately on par and outperform the linear autoregressive model on short forecast horizons of one and two quarters. Furthermore, the MS-AR model is the best performer on longer horizons of thr...

Non-linearities and Fractional Integration in the Us Unemployment Rate

This paper proposes a model of the US unemployment rate which accounts for both its asymmetry and its long memory. Our approach, based on the tests of Robinson (1994), introduces fractional integration and nonlinearities simultaneously into the same framework (unlike earlier studies employing a sequential procedure), using a Lagrange Multiplier procedure with a standard limit distribution. The ...

Non-Linearities in the Output-Inflation Relationship: Some Empirical Results for Canada

This paper analyzes the short-run dynamic process of inflation in Canada and examines whether a systematic variation in the relationship between inflation and output can be detected over time. In the theoretical literature, different models of price-setting behaviour predict that the slope of the Phillips curve will be a function of macroeconomic conditions, implying a time-varying sacrifice ra...

Dispersion-induced non-linearities in semiconductors

Non-linearities in Theory-of-Mind Development

Research on Theory-of-Mind (ToM) has mainly focused on ages of core ToM development. This article follows a quantitative approach focusing on the level of ToM understanding on a measurement scale, the ToM Storybooks, in 324 typically developing children between 3 and 11 years of age. It deals with the eventual occurrence of developmental non-linearities in ToM functioning, using smoothing techn...